Journal of the American Heart Association,
Год журнала:
2021,
Номер
10(18)
Опубликована: Сен. 6, 2021
Background
Sleep
variability
and
social
jetlag
are
associated
with
adverse
cardiometabolic
outcomes
via
circadian
disruption.
Variable
eating
patterns
also
lead
to
disruption,
but
associations
health
unknown.
Methods
Results
Women
(n=115,
mean
age:
33±12
years)
completed
a
1-week
food
record
using
the
Automated
Self-Administered
24-Hour
Dietary
Assessment
Tool
at
baseline
1
year.
Timing
of
first
last
occasions,
nightly
fasting
duration,
%kcal
consumed
after
5
pm
(%kcal
pm)
8
were
estimated.
Day-to-day
was
assessed
from
SD
these
variables.
Eating
defined
as
weekday-weekend
differences
in
metrics.
Multivariable-adjusted
linear
models
examined
cross-sectional
longitudinal
day-to-day
metrics
risk.
Greater
start
time,
related
higher
body
mass
index
waist
circumference
(P<0.05).
In
analyses,
10%
increase
predicted
increased
(β,
0.52;
95%
CI,
0.23-0.81)
1.73;
0.58-2.87);
greater
0.25;
0.07-0.43).
Every
30-minute
duration
diastolic
blood
pressure
0.95;
0.40-1.50);
an
equivalent
systolic
0.58;
0.11-1.05)
0.45;
0.10-0.80).
Per
SD,
there
2.98
mm
Hg
(95%
0.04-5.92)
2.37mm
0.19-4.55)
increases
pressure;
1.83;
0.30-3.36).
For
hemoglobin
A1c,
every
end
time
0.09%
0.03-0.15),
0.06%
0.001-0.12),
0.23%
0.07-0.39)
increases,
respectively.
Conclusions
adiposity
worse
glycemic
control.
Findings
warrant
confirmation
population-based
cohorts
intervention
studies.
Annual Review of Public Health,
Год журнала:
2020,
Номер
41(1), С. 81 - 99
Опубликована: Янв. 4, 2020
The
concept
of
sleep
health
provides
a
positive
holistic
framing
multiple
characteristics,
including
duration,
continuity,
timing,
alertness,
and
satisfaction.
Sleep
promotion
is
an
underrecognized
public
opportunity
with
implications
for
wide
range
critical
outcomes,
cardiovascular
disease,
obesity,
mental
health,
neurodegenerative
disease.
Using
socioecological
framework,
we
describe
interacting
domains
individual,
social,
contextual
influences
on
health.
To
the
extent
that
these
determinants
are
modifiable,
researchers
may
benefit
from
taking
multilevel
approach
addressing
disparities
in
For
example,
addition
to
providing
individual-level
behavioral
recommendations,
interventions
need
occur
at
levels
(e.g.,
family,
schools,
workplaces,
media,
policy).
Because
key
indicator
overall
unevenly
distributed
across
population,
consider
improving
necessary
step
toward
achieving
equity.
Applied Physiology Nutrition and Metabolism,
Год журнала:
2020,
Номер
45(10 (Suppl. 2)), С. S232 - S247
Опубликована: Окт. 1, 2020
The
objective
of
this
systematic
review
was
to
examine
the
associations
between
sleep
timing
(e.g.,
bedtime/wake-up
time,
midpoint
sleep),
consistency/regularity
intra-individual
variability
in
duration,
social
jetlag,
catch-up
and
health
outcomes
adults
aged
18
years
older.
Four
electronic
databases
were
searched
December
2018
for
articles
published
previous
10
years.
Fourteen
examined.
A
total
41
articles,
including
92
340
unique
participants
from
14
countries,
met
inclusion
criteria.
Sleep
assessed
objectively
37%
studies
subjectively
63%
studies.
Findings
suggest
that
later
greater
generally
associated
with
adverse
outcomes.
However,
because
most
reported
linear
associations,
it
not
possible
identify
thresholds
“late
timing”
or
“large
variability”.
In
addition,
jetlag
outcomes,
while
weekend
better
quality
evidence
ranged
“very
low”
“moderate”
across
study
designs
using
GRADE.
conclusion,
available
supports
earlier
regularity
patterns
consistent
bedtimes
wake-up
times
are
favourably
health.
(PROSPERO
registration
no.:
CRD42019119534.)
Novelty
This
is
first
influence
consistency
on
Later
both
adults.
Regularity
should
be
encouraged.
Abstract
Abnormally
short
and
long
sleep
are
associated
with
premature
mortality,
achieving
optimal
duration
has
been
the
focus
of
health
guidelines.
Emerging
research
demonstrates
that
regularity,
day-to-day
consistency
sleep–wake
timing,
can
be
a
stronger
predictor
for
some
outcomes
than
duration.
The
role
regularity
in
however,
not
investigated
large
cohort
objective
data.
We
therefore
aimed
to
compare
how
predicted
risk
all-cause
cause-specific
mortality.
calculated
Sleep
Regularity
Index
(SRI)
scores
from
>
10
million
hours
accelerometer
data
60
977
UK
Biobank
participants
(62.8
±
7.8
years,
55.0%
female,
median[IQR]
SRI:
81.0[73.8–86.3]).
Mortality
was
reported
up
years
after
recording
1859
(4.84
deaths
per
1000
person-years,
mean
(±SD)
follow-up
6.30
0.83
years).
Higher
20%–48%
lower
mortality
(p
<
.001
p
=
0.004),
16%–39%
cancer
0.001
0.017),
22%–57%
cardiometabolic
0.048),
across
top
four
SRI
quintiles
compared
least
regular
quintile.
Results
were
adjusted
age,
sex,
ethnicity,
sociodemographic,
lifestyle,
factors.
duration,
by
comparing
equivalent
models,
nested
SRI-mortality
models
without
0.14–0.20).
These
findings
indicate
is
an
important
may
simple,
effective
target
improving
general
survival.
Journal of the American Heart Association,
Год журнала:
2022,
Номер
11(21)
Опубликована: Окт. 19, 2022
Background
Although
sufficient
and
healthy
sleep
is
inversely
associated
with
cardiovascular
disease
(CVD)
its
risk
factors,
the
American
Heart
Association's
Life's
Simple
7
(LS7),
as
a
measure
of
health
(CVH),
did
not
include
sleep.
We
evaluated
an
expanded
CVH
that
includes
eighth
metric
in
relation
to
CVD
risk.
Methods
Results
The
analytic
sample
consisted
MESA
(Multi-Ethnic
Study
Atherosclerosis)
Sleep
participants
who
had
complete
data
on
characteristics
from
overnight
polysomnography,
7-day
wrist
actigraphy,
validated
questionnaires,
outcome.
computed
LS7
score
4
iterations
new
score:
1
included
duration,
2
linked
literature
(sleep
insomnia,
daytime
sleepiness,
obstructive
apnea),
scores
3
(score
3:
duration
efficiency,
apnea;
4:
3+sleep
regularity).
Multivariable-adjusted
logistic
Cox
proportional
hazards
models
associations
prevalence
incidence.
Among
1920
(mean
age:
69±9
years;
54%
female),
there
were
95
prevalent
events
93
incident
cases
follow-up,
4.4
years).
Those
highest
versus
lowest
tertile
up
80%
lower
odds
CVD.
was
significantly
incidence
(hazard
ratio,
0.62
[95%
CI,
0.37-1.04]).
1,
which
4,
multidimensional
health,
43%
47%
0.57
0.33-0.97];
hazard
0.53
0.32-0.89]),
respectively.
Conclusions
predicted
older
US
adults.
incorporation
metric,
akin
other
behaviors,
may
enhance
primordial
primary
prevention
efforts.
Findings
warrant
confirmation
larger
cohorts
over
longer
follow-up.
Journal of the American Heart Association,
Год журнала:
2023,
Номер
12(4)
Опубликована: Фев. 21, 2023
Background
Sleep
irregularity
has
been
linked
to
incident
cardiovascular
disease.
Less
is
known
about
associations
of
sleep
regularity
with
atherosclerosis.
We
examined
cross‐sectional
actigraphy‐assessed
duration
and
timing
subclinical
atherosclerosis
in
the
community‐based
MESA
(Multi‐Ethnic
Study
Atherosclerosis).
Methods
Results
Ancillary
participants
(N=2032;
mean
age,
68.6±9.2
years;
37.9%
White)
completed
7‐day
wrist
actigraphy.
Participants
underwent
assessments
coronary
artery
calcium,
carotid
plaque
presence,
intima‐media
thickness,
ankle‐brachial
index.
was
quantified
by
with‐in
person
SD
onset
timing.
Relative
risk
regression
models
were
used
calculate
prevalence
ratios
95%
CIs.
Models
are
adjusted
for
demographics,
disease
factors,
other
objectively
assessed
characteristics
including
obstructive
apnea,
duration,
fragmentation.
After
adjustment,
compared
more
regular
durations
(SD
≤60
minutes),
greater
>120
minutes)
likely
have
high
calcium
burden
(>300;
ratio,
1.33
[95%
CI,
1.03–1.71])
abnormal
index
(<0.9;
1.75
1.03–2.95]).
Compared
≤30
irregular
>90
(prevalence
1.39
1.07–1.82]).
Associations
persisted
after
adjustment
factors
average
Conclusions
irregularity,
particularly
associated
several
measures
may
be
a
modifiable
target
reducing
risk.
Future
investigation
into
reduction
interventions
targeting
warranted.
Diagnostics,
Год журнала:
2025,
Номер
15(3), С. 327 - 327
Опубликована: Янв. 30, 2025
Wearable
devices
have
gained
increasing
attention
for
use
in
multifunctional
applications
related
to
health
monitoring,
particularly
research
of
the
circadian
rhythms
cognitive
functions
and
metabolic
processes.
In
this
comprehensive
review,
we
encompass
how
wearables
can
be
used
study
disease.
We
highlight
importance
these
as
markers
well-being
potential
predictors
outcomes.
focus
on
wearable
technologies
sleep
research,
medicine,
chronomedicine
beyond
domain
emphasize
actigraphy
a
validated
tool
monitoring
sleep,
activity,
light
exposure.
discuss
various
mathematical
methods
currently
analyze
actigraphic
data,
such
parametric
non-parametric
approaches,
linear,
non-linear,
neural
network-based
applied
quantify
non-circadian
variability.
also
introduce
novel
actigraphy-derived
markers,
which
personalized
proxies
status,
assisting
discriminating
between
disease,
offering
insights
into
neurobehavioral
status.
lifestyle
factors
physical
activity
exposure
modulate
brain
health.
establishing
reference
standards
measures
further
refine
data
interpretation
improve
clinical
The
review
calls
existing
tools
methods,
deepen
our
understanding
health,
develop
healthcare
strategies.
Mobility
restrictions
imposed
to
suppress
transmission
of
COVID-19
can
alter
physical
activity
(PA)
and
sleep
patterns
that
are
important
for
health
well-being.
Characterization
response
heterogeneity
their
underlying
associations
may
assist
in
stratifying
the
impact
pandemic.We
obtained
wearable
data
covering
baseline,
incremental
mobility
restriction,
lockdown
periods
from
1,824
city-dwelling,
working
adults
aged
21-40
years,
incorporating
206,381
nights
334,038
days
PA.
Distinct
rest-activity
rhythm
(RAR)
profiles
were
identified
using
k-means
clustering,
indicating
participants'
temporal
distribution
step
counts
over
day.
Hierarchical
clustering
proportion
spent
each
these
RAR
revealed
four
groups
who
expressed
different
mixtures
before
during
lockdown.Time
bed
increased
by
20
min
without
loss
efficiency,
while
social
jetlag
measures
decreased
15
min.
Resting
heart
rate
declined
~2
bpm.
PA
dropped
an
average
42%.
Four
with
compositions
found.
Three
better
able
maintain
weekday/weekend
differentiation
lockdown.
The
least
active
group
comprising
~51%
sample,
younger
predominantly
singles.
Habitually
less
already,
this
showed
greatest
reduction
little
differences.In
early
aftermath
appears
be
more
severely
affected
than
sleep.
evaluation
uncovered
responses
could
associate
outcomes
should
resolution
protracted.